José C. Riquelme
Title
Cited by
Cited by
Year
Incremental wrapper-based gene selection from microarray data for cancer classification
R Ruiz, JC Riquelme, JS Aguilar-Ruiz
Pattern Recognition 39 (12), 2383-2392, 2006
3142006
Electricity market price forecasting based on weighted nearest neighbors techniques
AT Lora, JMR Santos, AG Expósito, JLM Ramos, JCR Santos
IEEE Transactions on Power Systems 22 (3), 1294-1301, 2007
2712007
Energy time series forecasting based on pattern sequence similarity
FM Alvarez, A Troncoso, JC Riquelme, JSA Ruiz
IEEE Transactions on Knowledge and Data Engineering 23 (8), 1230-1243, 2010
2622010
Minería de datos: Conceptos y tendencias
JC Riquelme Santos, R Ruiz, K Gilbert
Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial …, 2006
1672006
A survey on data mining techniques applied to electricity-related time series forecasting
F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, JC Riquelme
Energies 8 (11), 13162-13193, 2015
1442015
Evolutionary learning of hierarchical decision rules
JS Aguilar-Ruiz, JC Riquelme, M Toro
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003
1362003
An evolutionary approach to estimating software development projects
JS Aguilar-Ruiz, I Ramos, JC Riquelme, M Toro
Information and Software Technology 43 (14), 875-882, 2001
1252001
An evolutionary algorithm to discover numeric association rules
J Mata, JL Alvarez, JC Riquelme
Proceedings of the 2002 ACM symposium on Applied computing, 590-594, 2002
1212002
Discovering numeric association rules via evolutionary algorithm
J Mata, JL Alvarez, JC Riquelme
Pacific-Asia conference on knowledge discovery and data mining, 40-51, 2002
1102002
Finding representative patterns with ordered projections
JC Riquelme, JS Aguilar-Ruiz, M Toro
Pattern Recognition 36 (4), 1009-1018, 2003
1032003
Preliminary comparison of techniques for dealing with imbalance in software defect prediction
D Rodriguez, I Herraiz, R Harrison, J Dolado, JC Riquelme
Proceedings of the 18th International Conference on Evaluation and …, 2014
1012014
Mining numeric association rules with genetic algorithms
J Mata, JL Alvarez, JC Riquelme
Artificial neural nets and genetic algorithms, 264-267, 2001
802001
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
M Martínez-Ballesteros, A Troncoso, F Martínez-Álvarez, JC Riquelme
Integrated Computer-Aided Engineering 17 (3), 227-242, 2010
682010
Natural encoding for evolutionary supervised learning
JS Aguilar-Ruiz, R Giráldez, JC Riquelme
IEEE Transactions on Evolutionary Computation 11 (4), 466-479, 2007
682007
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme
Neurocomputing 167, 24-31, 2015
662015
A framework for evaluating land use and land cover classification using convolutional neural networks
M Carranza-García, J García-Gutiérrez, JC Riquelme
Remote Sensing 11 (3), 274, 2019
642019
Big data analytics for discovering electricity consumption patterns in smart cities
R Pérez-Chacón, JM Luna-Romera, A Troncoso, F Martínez-Álvarez, ...
Energies 11 (3), 683, 2018
642018
Incremental rule learning and border examples selection from numerical data streams
FJ Ferrer Troyano, JS Aguilar Ruiz, JC Riquelme Santos
Journal of Universal Computer Science, 11 (8), 1426-1439., 2005
622005
Local models-based regression trees for very short-term wind speed prediction
A Troncoso, S Salcedo-Sanz, C Casanova-Mateo, JC Riquelme, L Prieto
Renewable Energy 81, 589-598, 2015
602015
Evolutionary generalized radial basis function neural networks for improving prediction accuracy in gene classification using feature selection
F Fernández-Navarro, C Hervás-Martínez, R Ruiz, JC Riquelme
Applied Soft Computing 12 (6), 1787-1800, 2012
602012
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Articles 1–20